Testing stochastic income convergence in seasonal heterogeneous panels

Autor:	Nuri Ucar, Hüseyin Güler
Přispěvatelé:	Çukurova Üniversitesi
Jazyk:	angličtina
Rok vydání:	2010
Předmět:	Economics and Econometrics Basis (linear algebra) Seasonal panel unit root Monte Carlo method Context (language use) Sample (statistics) Growth model Income convergence HEGY Bootstrap Convergence (routing) Economics Econometrics Convergence Statistical hypothesis testing
Popis:	In this paper we introduce a seasonal version of the Solow-Swan growth model and acquire an empirical income convergence equation. We take this equation as a basis to investigate whether income convergence exists in an OECD sample. To do this, we propose the test statistics under various asymptotic properties for some of the seasonal frequencies in the context of nonstationary heterogeneous panels. Critical values and moments of our statistics are generated and their finite sample performances are examined via Monte Carlo simulations. © 2009 Elsevier B.V. All rights reserved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10c925e85b693f1a2d3538687d14c30 https://hdl.handle.net/20.500.12605/20716 Zobrazit plný text záznamu